Evidence map›Paper›PMID 21799256›Full record

ArticleJournal of biosciences2011

Dynamics of nuclear matrix proteome during embryonic development in Drosophila melanogaster.

Parul Varma, Rakesh K Mishra

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of biosciences, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Nuclear architecture and the structural basis of mitotic memory.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2023
    Review
  2. Nucleus (Austin, Tex.) · 2022
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Relationship between DNA replication and the nuclear matrix.Genes to cells : devoted to molecular & cellular mechanisms · 2013
    Review
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Parul VarmaCenter for Cellular and Molecular Biology (CSIR), Hyderabad 500 007, India.
Rakesh K Mishra
Centre for Cellular and Molecular Biology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Embryonic development is a complex and dynamic process that involves spatiotemporal expression of genes in a highly coordinated manner. Multiple levels of nuclear architecture maintain the fidelity of gene expression programme. One of the components of nuclear architecture, which is believed to play an important role in regulation of gene expression, is the nuclear matrix (NuMat). Many studies over the past few years have tried to analyse the components of this non-chromatin scaffolding of the nucleus and have provided evidences of its structural and functional complexity. However, the relationship of NuMat with the process of embryonic development still remains poorly understood. Here, we report a comparative analysis of the NuMat proteomes of early and late stage Drosophila melanogaster embryos and show that 65% of the NuMat proteome is dynamic during development. Our study establishes links between the dynamics of nuclear architecture and embryonic development and provides tools to further understand the process such as cellular differentiation in the context of higher-order nuclear organization.

Indexed as

Embryonic DevelopmentAnimalsChromatography, LiquidDrosophila melanogasterGene Expression ProfilingMass SpectrometryNuclear MatrixNuclear Matrix-Associated ProteinsProteomeNuclear Matrix-Associated ProteinsProteome

Identifiers

PMID21799256
OpenAlexW2114395950

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.